Identifying wrist fracture patients with high accuracy by automatic categorization of X-ray reports.
The authors performed this study to determine the accuracy of several text classification methods to categorize wrist x-ray reports. We randomly sampled 751 textual wrist x-ray reports. Two expert reviewers rated the presence (n = 301) or absence (n = 450) of an acute fracture of wrist. We developed two information retrieval (IR) text classification methods and a machine learning method using a support vector machine (TC-1). In cross-validation on [...]
Author(s): de Bruijn, Berry, Cranney, Ann, O'Donnell, Siobhan, Martin, Joel D, Forster, Alan J
DOI: 10.1197/jamia.M1995